An enhanced modified multi wall propagation model

Salaheddin Hosseinzadeh, Hadi Larijani, Krystyna Curtis

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    This article proposes a variation of Motley-Keenan multi-wall radio propagation model. Proposed model incorporates the polarization and angle of the incidence of the beam into this model. This is achieved by using image processing techniques to automatically detect the walls and their orientation from a blueprint image. Hence, various wall types with different attenuating characteristics can be defined. By acquiring the orientation of the walls, their attenuations are defined as a function of the angle of incidence. The main advantages of this implementation are (i) no 3D model of the environment is required (ii) manual preprocessing of the blueprint is eliminated (iii) Accuracy of the propagation model is improved. This approach hence simplifies and improves the radio propagation modeling for indoor environments without requiring a 3D model of the environment or defining walls with vector equations. To validate the model, practical measurements are compared against Motley-Kennan model, both with and without the angle of the incident. IT is concluded that this modification improved the accuracy of the Motley-Keenan model for estimating the path attenuation by an average of 0.5 dB per measurement location.
    Original languageEnglish
    Title of host publicationGlobal Internet of Things Summit (GIoTS), 2017
    PublisherIEEE
    Pages1
    Number of pages4
    ISBN (Electronic)9781509058730
    DOIs
    Publication statusPublished - 24 Aug 2017

    Fingerprint

    Blueprints
    Radio transmission
    Image processing
    Polarization

    Keywords

    • propagation model
    • Motley-Keenan model

    Cite this

    Hosseinzadeh, S., Larijani, H., & Curtis, K. (2017). An enhanced modified multi wall propagation model. In Global Internet of Things Summit (GIoTS), 2017 (pp. 1). IEEE. https://doi.org/10.1109/GIOTS.2017.8016211
    Hosseinzadeh, Salaheddin ; Larijani, Hadi ; Curtis, Krystyna. / An enhanced modified multi wall propagation model. Global Internet of Things Summit (GIoTS), 2017 . IEEE, 2017. pp. 1
    @inproceedings{cd0d98fcab124e9594768a1c167f84c0,
    title = "An enhanced modified multi wall propagation model",
    abstract = "This article proposes a variation of Motley-Keenan multi-wall radio propagation model. Proposed model incorporates the polarization and angle of the incidence of the beam into this model. This is achieved by using image processing techniques to automatically detect the walls and their orientation from a blueprint image. Hence, various wall types with different attenuating characteristics can be defined. By acquiring the orientation of the walls, their attenuations are defined as a function of the angle of incidence. The main advantages of this implementation are (i) no 3D model of the environment is required (ii) manual preprocessing of the blueprint is eliminated (iii) Accuracy of the propagation model is improved. This approach hence simplifies and improves the radio propagation modeling for indoor environments without requiring a 3D model of the environment or defining walls with vector equations. To validate the model, practical measurements are compared against Motley-Kennan model, both with and without the angle of the incident. IT is concluded that this modification improved the accuracy of the Motley-Keenan model for estimating the path attenuation by an average of 0.5 dB per measurement location.",
    keywords = "propagation model, Motley-Keenan model",
    author = "Salaheddin Hosseinzadeh and Hadi Larijani and Krystyna Curtis",
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    Hosseinzadeh, S, Larijani, H & Curtis, K 2017, An enhanced modified multi wall propagation model. in Global Internet of Things Summit (GIoTS), 2017 . IEEE, pp. 1. https://doi.org/10.1109/GIOTS.2017.8016211

    An enhanced modified multi wall propagation model. / Hosseinzadeh, Salaheddin; Larijani, Hadi; Curtis, Krystyna.

    Global Internet of Things Summit (GIoTS), 2017 . IEEE, 2017. p. 1.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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    AB - This article proposes a variation of Motley-Keenan multi-wall radio propagation model. Proposed model incorporates the polarization and angle of the incidence of the beam into this model. This is achieved by using image processing techniques to automatically detect the walls and their orientation from a blueprint image. Hence, various wall types with different attenuating characteristics can be defined. By acquiring the orientation of the walls, their attenuations are defined as a function of the angle of incidence. The main advantages of this implementation are (i) no 3D model of the environment is required (ii) manual preprocessing of the blueprint is eliminated (iii) Accuracy of the propagation model is improved. This approach hence simplifies and improves the radio propagation modeling for indoor environments without requiring a 3D model of the environment or defining walls with vector equations. To validate the model, practical measurements are compared against Motley-Kennan model, both with and without the angle of the incident. IT is concluded that this modification improved the accuracy of the Motley-Keenan model for estimating the path attenuation by an average of 0.5 dB per measurement location.

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    Hosseinzadeh S, Larijani H, Curtis K. An enhanced modified multi wall propagation model. In Global Internet of Things Summit (GIoTS), 2017 . IEEE. 2017. p. 1 https://doi.org/10.1109/GIOTS.2017.8016211